Multisensor data fusion is an emerging technology applied to Department of Defense (DoD) areas such as automated target recognition, battlefield surveillance, and guidance and control of autonomous vehicles, and to non-DoD applications such as monitoring of complex machinery, medical diagnosis, and smart buildings. Techniques for multisensor data fusion are drawn from a wide range of areas including artificial intelligence, pattern recognition, statistical estimation and other areas. This paper provides a tutorial on data fusion, introducing data fusion applications, process models, and identification of applicable techniques. Comments are made on the state-of-the-art in data fusion.


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    Title :

    An introduction to multisensor data fusion


    Additional title:

    Eine Einführung in die Multisensor-Datenfusion


    Contributors:
    Hall, D.L. (author) / Llinas, J. (author)

    Published in:

    Publication date :

    1997


    Size :

    18 Seiten, 130 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




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